Evidence map›Paper›PMID 33483913›Full record

ArticleNeurocritical care2021

Electroencephalography, Hospital Complications, and Longitudinal Outcomes After Subarachnoid Hemorrhage.

India A Lissak, Joseph J Locascio, Sahar F Zafar, Riana L Schleicher, Aman B Patel, Thabele Leslie-Mazwi, Christopher J Stapleton, Matthew J Koch, Jennifer A Kim, Kasey Anderson and 4 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Neurocritical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05103566 (STORM), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05103566 narecruitingnot on this mapstarted 2022, after this paper: background citation

STORM: Safety, Feasibility, and Efficacy of Non-invasive Vagus Nerve Stimulation (nVNS) in the Treatment of Aneurysmal Subarachnoid Hemorrhage

TypeinterventionalSponsorMassachusetts General HospitalRan2022 to 2029Enrolled25ConditionsSubarachnoid Hemorrhage, AneurysmalArmsgammaCore
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Outcomes Measures in Subarachnoid Hemorrhage Research.Translational stroke research · 2025
    Review
  2. Review
  3. Prevalence of clinical electroencephalography findings in stroke patients with delirium.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

India A LissakDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Joseph J LocascioHarvard Catalyst Biostatistics Group, Massachusetts General Hospital, Boston, MA, USA.
Sahar F ZafarDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Riana L SchleicherDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Aman B PatelDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
Thabele Leslie-MazwiDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Christopher J StapletonDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
Matthew J KochDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
Jennifer A KimDepartment of Neurology, Yale School of Medicine, 333 Cedar St, New Haven, CT, USA.
Kasey AndersonDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Jonathan RosandDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
W Taylor KimberlyDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA.
Eric S RosenthalDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Lunder 644, Boston, MA, 02114, USA. erosenthal@mgh.harvard.edu.ORCID http://orcid.org/0000-0003-3900-356X
Massachusetts General Hospital · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Real-Time Prediction of Delayed Cerebral Ischemia after Subarachnoid HemorrhageK23NS105950 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSENTHAL, ERIC S. · 2018 to 2022
$1.0M
Optimizing anti-epileptic drug treatment in acute brain injuryK23NS114201 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ZAFAR, SAHAR F · 2019 to 2023
$1.0M
VETEBRATE COMMISSURELESS HOMOLOGUESF32NS010595 · NINDS · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CHEN, HANG · 1997 to 2000
$27k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS F32 NS010595NINDS NIH HHS K23 NS105950NINDS NIH HHS K23 NS114201
6 · The paper itself

Abstract

backgroundFollowing non-traumatic subarachnoid hemorrhage (SAH), in-hospital delayed cerebral ischemia is predicted by two chief events on continuous EEG (cEEG): new or worsening epileptiform abnormalities (EAs) and deterioration of cEEG background frequencies. We evaluated the association between longitudinal outcomes and these cEEG biomarkers. We additionally evaluated the association between longitudinal outcomes and other in-hospital complications.

methodsPatients with nontraumatic SAH undergoing ≥ 3 days of cEEG monitoring were enrolled in a prospective study evaluating longitudinal outcomes. Modified Rankin Scale (mRS) was assessed at discharge, and at 3- and 6-month follow-up time points. Adjusting for baseline severity in a cumulative proportional odds model, we modeled the mRS ordinally and measured the association between mRS and two forms of in-hospital cEEG deterioration: (1) cEEG evidence of new or worsening epileptiform abnormalities and (2) cEEG evidence of new background deterioration. We compared the magnitude of these associations at each time point with the association between mRS and other in-hospital complications: (1) delayed cerebral ischemia (DCI), (2) hospital-acquired infections (HAI), and (3) hydrocephalus. In a secondary analysis, we employed a linear mixed effects model to examine the association of mRS over time (dichotomized as 0-3 vs. 4-6) with both biomarkers of cEEG deterioration and with other in-hospital complications.

resultsIn total, 175 mRS assessments were performed in 59 patients. New or worsening EAs developed in 23 (39%) patients, and new background deterioration developed in 24 (41%). Among cEEG biomarkers, new or worsening EAs were independently associated with mRS at discharge, 3, and 6 months, respectively (adjusted cumulative proportional odds 4.99, 95% CI 1.60-15.6; 3.28, 95% CI 1.14-9.5; and 2.71, 95% CI 0.95-7.76), but cEEG background deterioration lacked an association. Among hospital complications, DCI was associated with discharge, 3-, and 6-month outcomes (adjusted cumulative proportional odds 4.75, 95% CI 1.64-13.8; 3.4; 95% CI 1.24-9.01; and 2.45, 95% CI 0.94-6.6), but HAI and hydrocephalus lacked an association. The mixed effects model demonstrated that these associations were sustained over longitudinal assessments without an interaction with time.

conclusionAlthough new or worsening EAs and cEEG background deterioration have both been shown to predict DCI, only new or worsening EAs are associated with a sustained impairment in functional outcome. This novel finding raises the potential for identifying therapeutic targets that may also influence outcomes.

Indexed as

Brain IschemiaSubarachnoid HemorrhageElectroencephalographyHospitalsHumansProspective StudiesDelayed cerebral ischemiaElectroencephalographyHydrocephalusOutcomesSubarachnoid hemorrhage

Identifiers

PMID33483913
PMCPMC7822587
OpenAlexW3121921023

What OpenQuestion holds

Textmetadata
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.